ibab/tensorflow-wavenet

Health v2 · maintenance only

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Adoption not part of the score

5428 stars · 1265 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A TensorFlow implementation of DeepMind's WaveNet generative neural network architecture for raw audio waveform generation. It provides training and generation scripts that model the conditional probability of the next audio sample using causal dilated convolutions.

Use cases

• generate raw audio waveforms with a neural network
• train a WaveNet model on a corpus of wav files
• implement DeepMind's WaveNet paper in TensorFlow
• build a neural vocoder for audio synthesis
• experiment with causal dilated convolutions for audio
• text-to-speech audio generation research

When to choose

• you want an open-source reference implementation of WaveNet for research or learning
• you need to train an audio generation model on your own wav corpus
• you are studying generative models of raw audio in TensorFlow

When to avoid

• you need a production-ready, actively maintained TTS engine
• you want fast, real-time audio synthesis without GPUs
• you need support for recent TensorFlow 2.x versions out of the box
• you want a simple high-level API rather than training scripts

Facets

library · maturity maintenance

deep-learning audio-processing machine-learning tts deep-learning machine-learning speech-processing python cross-platform wavenet tensorflow generative-model audio-generation neural-vocoder research-code audio gpu linux macos

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markdown · JSON · MCP: product_card(name="ibab/tensorflow-wavenet")